/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * License); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

/*
 * Copyright (c) 2018, Open AI Lab
 * Author: haitao@openailab.com
 */
#ifndef __CPU_RUNNER_HPP__
#define __CPU_RUNNER_HPP__

#include <string>
#include <vector>
#include <functional>

#include "node_ops.hpp"

namespace TEngine {

class Graph;
class CPUDevice;

using Subgraph=Graph;

class CPURunner {

public:

   bool Prerun(Subgraph * sub_graph);
   bool Run(Subgraph * sub_graph) ; 
   bool Postrun(Subgraph * sub_graph);
   
   bool OptimizeGraph(Subgraph * sub_graph);

   void AttachCPUDevice(CPUDevice * cpu_dev);

 
   bool BindNodeOps(Subgraph * graph);
   bool AllocateMem(Subgraph * graph);

   bool FreeMem(Subgraph * graph);
   bool UnbindNodeOps(Subgraph * graph);

   CPURunner() { mem_alloc=malloc; mem_free=free; }
 
   ~CPURunner(){} 

   mem_alloc_t mem_alloc;
   mem_free_t mem_free;
   CPUDevice * cpu_dev_;
   const CPUInfo * cpu_info_;


};







} //namespace TEngine


#endif
